M. La Rosa and P. Soffer (Eds.): BPM 2012 Workshops, LNBIP 132, pp. 187–198, 2013. ? Springer-Verlag Berlin Heidelberg 2013 Process Mining and the ProM Framework: An Exploratory Survey Jan Claes and Geert Poels Department of Management Information Science and Operations Management, Faculty of Economics and Business Administration Ghent University, Belgium {,}***@ Abstract. In the last decade the field of process mining gained attention from research and practice. There is, however, not much known about the use and the appreciation of the involved techniques and tools, many of which are integrated into the well-known ProM framework. Therefore a questionnaire was sent out to ask people’s opinions about process mining and the ProM framework. This paper reports on the answers and tries to link them to existing knowledge from academic literature and popular articles. It must be seen as a first, exploratory attempt to reveal the adoption of process mining and the actual use of the ProM framework. Keywords: Process Mining, ProM Framework, Survey Research. 1 Introduction In the recently published Process Mining Manifesto [1] 11 challenges and 6 guidelines for future development of the process mining field are listed. The paper was authored by 77 research ers and practitioners in the context of the IEEE Task Force on Process Mining 1 and is therefore assumed to reflect the opinion of the process munity. This provided the inspiration pose a questionnaire 2 to be able to ask munity for their opinion on related topics. The survey comprised 5 questions about process mining and 5 questions about the most popular process mining framework ProM 3. Another 5 questions covered the demographical background of the respondents. This is how the paper is structured: Section 2 explains the methodology. Section 3 provides an overview of the main results of the questionnaire. Section 4 discusses the impact on research and practice
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